Event-Triggered Sampled-Data Control: An Active Disturbance Rejection Approach

Huang, Yuan; Wang, Junzheng; Shi, Dawei; Wu, Junfeng; Shi, Ling

doi:10.1109/tmech.2019.2933411

Cited by 35 publications

(17 citation statements)

References 54 publications

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“…Therefore, the ESO designs via the continuously transmitted output measurement and the ADRC controller designs based on continuous-time estimates obtained by ESO like those in aforementioned literature may become impracticable for uncertain systems in networked environment. This further promotes the recent development of event-triggered ADRC for uncertain systems, see, e.g., [6], [7], [8] and the references therein. In the framework of event-triggered control, information transmission and control updating occur only when necessary for the system, leading to momentous efficiency in saving communication/computation resources.…”

Section: Introductionmentioning

confidence: 70%

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Event-Triggered Active Disturbance Rejection Control for Uncertain Lower Triangular Stochastic Systems

Wu¹,

Deng²,

Zeng³

et al. 2023

Preprint

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In this paper, the event-triggered active disturbance rejection control (ADRC) is first addressed for a class of uncertain lower triangular stochastic systems driven by bounded noise and colored noise. The eventtriggered extended state observer (ESO) and ADRC controller are designed, where two respective event-triggering mechanisms with a fixed positive lower bound for the inter-execution times for every sample path solution of the stochastic systems are proposed. The stochastic total disturbance representing the coupling of nonlinear unmodeled dynamics, external deterministic disturbance, bounded noise, and colored noise is estimated in real time by the event-triggered ESO and compensated in the event-triggered feedback loop. Both the mean square and almost surely practical convergence of the closed-loop systems is shown with rigorous theoretical analysis. Finally, some numerical simulations are presented to validate the theoretical results.

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Section: Introductionmentioning

confidence: 70%

“…This presupposition is unwanted when the ADRC controller is designed, which is not an easy theoretical task. In addition, both the designs and theoretical analysis of this paper are largely distinguished from the deterministic counterpart in [6], [7], [8].…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Event-Triggered Active Disturbance Rejection Control for Uncertain Lower Triangular Stochastic Systems

Wu¹,

Deng²,

Zeng³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Current works on ADRC are based on continuous output measurement or event-triggered sampled data. [6][7][8][9][14][15][16][17][18][19][24][25][26][27][28][29] In this paper, a novel self-triggered ESO is proposed to estimate the unmeasurable states and total uncertainties in system dynamics, which removes the need to persistently monitor a triggering function. 3.…”

Section: Introductionmentioning

confidence: 99%

Tracking consensus for uncertain nonlinear multi‐agent systems under cloud‐based event‐triggered coordination

Hong

Ran

Xie

et al. 2023

Intl J Robust & Nonlinear

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This paper considers the cloud-based event-triggered coordination problem of uncertain high-order nonlinear multi-agent systems. The communication among agents is realized by indirect and asynchronous access to a shared cloud database. A self-triggered extended state observer (ESO) is first designed to estimate the total uncertainty. Based on the output of the ESO, an event-triggered controller is proposed. It is proved that under the proposed output feedback controller, the multi-agent system can track a virtual leader. We also show that Zeno behavior from output sampling or controller update will never happen. Finally, a numerical example and a vehicle platoon example are provided to corroborate the obtained theoretical results. K E Y W O R D Scloud-based control, multi-agent systems, output feedback control, self-triggered extended state observer, uncertain high-order nonlinear systems

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“…In this approach, the feedback loop is closed only when a certain condition on plant states gets violated. The theory to design and analyze the ETC was formalized for the first time in Reference 11 and since then, there has been significant growth in ETC methods and various research directions are suggested in the literature: self-triggered control, 12,13 output based ETC, 14 co-design of feedback laws and event-triggering conditions, 15 ETC of distributed control systems, 16,17 decentralized ETC of LTI systems, 18 Lyapunov-based small-gain approach to design triggering conditions, 19 ETC to reject active disturbance, 20 ETC along with other control algorithms 21,22 and many more. In the same direction, the model-based event-triggered control (MBETC) proposed in References 23-25 proved to be very effective in decreasing the transmission frequency.…”

Section: Introductionmentioning

confidence: 99%

Model‐based event‐triggered control of singularly perturbed system with dual event‐triggering mechanism

Bhandari

Fulwani

Gupta

2022

Intl J Robust & Nonlinear

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In this article, a new dual event-triggering mechanism is proposed to implement a distributed model-based event-triggered control for a singularly perturbed system (SPS) having structured state space uncertainty. The proposed approach significantly reduces the amount of necessary information exchanged to control the system. Dual event-triggering mechanism allows the measurements of slow and fast states to be transmitted asynchronously at different rates which is more effective due to the two time-scale nature of SPSs. Approximate slow and fast systems of the nominal plant are used as the model to reduce the computational demand. The proposed control strategy guarantees that the system states converge to an adjustable region around the equilibrium point and the inter-event intervals are lower-bounded by a positive constant. A numerical simulation example is used to illustrate the theoretical results of the article.

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Event-Triggered Sampled-Data Control: An Active Disturbance Rejection Approach

Cited by 35 publications

References 54 publications

Event-Triggered Active Disturbance Rejection Control for Uncertain Lower Triangular Stochastic Systems

Event-Triggered Active Disturbance Rejection Control for Uncertain Lower Triangular Stochastic Systems

Tracking consensus for uncertain nonlinear multi‐agent systems under cloud‐based event‐triggered coordination

Model‐based event‐triggered control of singularly perturbed system with dual event‐triggering mechanism

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